In stored in the database with size 4

In the new media the communication
trends are extensively altering. Usage of enormous amount of text data is
burdensome and intricate. Extensive handling of emoji is broad spreader in the
ubiquitous communications devices. This simplifies the convolution of handling
and storing of massive text messages in repeated sequence. In this approach we
have gone through various methods of emotional expression in different s mart
phones and other chat devices.

Using of such emoji like symbols
has got significance and feasibility as it reduces the time and storage. In
this work we propose an analysis to simplify the emoji usage, as in the case
when similar and multiple emoji messages are received into one handheld device.
The proposed simple algorithm (program) predominantly focus on the redundancy
evasion of multiple and similar symbols in once device hence increasing the
storage in an intrinsic way.

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

INTRODUCTION

In real world online chat refer to
any kind of handheld communication devices over the internet that offers a real
time transmission of text messages, videos, audios and documents from sender to
receiver. Emojis
have become an essential part of our expression while sending a text, or when
you chat with your friends, etc. It is the new messaging trend! Since a lot of
people found it as a better way of communication, Emojis have become a vital
one when it comes to Digital marketing as well.  Reasons for  why
one should use Emojis in customer services are Emojis help to show empathy, it creates a personalized
communication, reduces negative responses, it helps to connect with millennial,
and
Time consuming.

    
Emojis are formed by various combinations of keyboard characters and
each emojis have unique Unicode, the Unicode’s are stored in the database with
size 4 byte characters. Emojis are UTF-8 encoded symbols. Therefore, to save
the emoji on the database, the database column should supports for UTF-8
encoding. UTF-8 is a compromise
character encoding that can be as compact as ASCII (if the file is just plain
English text) but can also contain any Unicode characters (with some increase
in file size).UTF stands for Unicode Transformation  Format and ‘8’ means it uses 8-bit blocks to
represent a character. The number of block needed to represent a character
varies from 1 to 4.In 21
June 2016 brought the official release 
of  Unicode Version 9.0, and with
it 72 new emoji.

 Unicode 10.0 is
the version of unicode Standard release June 20,2017. Version 10.0 adds exactly
8518 new characters were included with this update of which 56 were emoji
charecters. Unicode 11 is the next version of the unicode standard, sheduled
for release in June 2018.The images and format
may be updated at any time.

   
In this work
we propose an analysis to simplify the emoji usage, as in the case when similar
and multiple emoji messages are received into one handheld       device. In current system, find
out the string form of each emojis and then change to it in Unicode after that
send to the database.  When the incoming
emojis are same the Unicode repeatedly stored into the database and it needed
more storage space. The
proposed simple   algorithm          predominantly focus on the redundancy
evasion of multiple and similar symbols in once device hence increasing the storage in
an intrinsic way.
This algorithm focuses on the repeatedly incoming emojis in different handheld
communication devices and reduces the redundancy. If the incoming message is
matching with the emoji Unicode it will store to the database once and also
store the count of that particular Unicode.

RELATED
WORK

          
 The paces with which the emojis are being
updated are indeed a marveling factor to the digital world. Some researchers have presented an
empirical study of how people use emojis, an emerging ubiquitous language for expressing
emotions, topics, and        ideas. In
a forum paper published on January 17 in Trends in cognitive sciences,
psychologists Linda Kaye, Stephanie Malone, and Helen Wall discuss emojis and
emoticons as tools for evaluating how we relate to each other in the digital
age.  In 2017
May, A research based on ‘Through a gender lens: An Empirical Study of Emojis Usage over
Large-Scale Android Users ‘. In this paper they conduct a multi-dimensional
statistical analysis from various aspects of emoji usage, including the
frequency, preferences, input patterns, CMC-scenario sensitive patterns,
temporal patterns, sentiment patterns and they concluded that there are exactly
some gender differences in emoji usage.